MOE START Scheme (Applied Research Fellowship) - Infocomm Technology

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT); Singapore; On-site; SGD 20,000 - 60,000; Full time

Job summary

A leading educational institution in Singapore is offering the Applied Research Fellowship for recent doctoral candidates. This fellowship allows awardees to engage in advanced research training overseas for one year, with financial support and academic mentorship. Successful fellows may be considered for an Assistant Professorship post-fellowship. Ideal candidates are Singapore citizens with outstanding academic records and a keen interest in academic careers.

Benefits

Monthly stipend

Overseas maintenance allowance

Return economy airfare

Conference and fieldwork grants

Overseas medical insurance

Qualifications

• Singapore citizen required.
• Candidates should have recently completed or be about to complete doctoral studies.
• Applicants must apply for postdoctoral training at an overseas university.

Responsibilities

• Engage in advanced training and research at an overseas university.
• Receive academic mentorship.
• Participate in faculty development programmes.

Skills

Excellent academic record

High degree of proficiency

Motivation for research

Interest in academic career

Education

Doctoral degree

Job description

Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Computer science Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country Singapore Application Deadline 18 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Applied Research Fellowship

The Applied Research Fellowship aims to provide doctoral candidates who are about to complete or have recently completed their studies an opportunity to engage in advanced training and/or research at an overseas university for one year.

Besides financial support, awardees will also receive academic mentorship.

Upon completion of the Fellowship, awardees will be considered for Assistant Professorship.

Eligibility and Selection Criteria

• Singapore citizen
• Doctoral candidates who have recently completed or are about to complete their studies in a discipline under the supported areas for START below
• Excellent academic record plus a high degree of proficiency and motivation for selected research area
• Have been accepted or have applied for a postdoctoral training at a leading overseas university in a research area that is aligned with SIT’s supported areas
• A keen interest in an academic career

Value of Fellowship

The Fellowship provides

• Monthly stipend
• Overseas maintenance allowance
• Return economy airfare
• Conference and fieldwork grants
• Overseas medical insurance

Fellows will also each be assigned a SIT faculty mentor throughout their post-doctoral training and have opportunities to participate in faculty development programmes.

The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported.

Service Commitment

One year for every year of sponsorship.

Application Process

• Applications are open throughout the year via the various links below. Applications received before 15 January 2026 will be considered for the 2026 intake.
• Interview by the respective clusters for shortlisted applicants will be conducted throughout the year.
• Final Interview by the Panel for shortlisted applicants for the 2026 intake will commence in Mid-March to End April 2026.
• Awards will be finalised by July 2026.

Supported Areas for START -Infocomm Technology

• Information Security:Mobile security, cyber-physical systems, IoT security, security analytics, operational cybersecurity, digital forensics, vulnerability assessment, malware analysis, privacy technologies, and AI security
• AI and Emerging Fields:Smart healthcare, IIoT, computational fintech, robot-human interaction, trustworthy AI, explainable AI, large language models, quantum computing.